| IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels | Oct 28, 2022 | Image SegmentationInductive Bias | CodeCode Available | 0 | 5 |
| Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation | Jul 30, 2019 | Image SegmentationLesion Segmentation | CodeCode Available | 0 | 5 |
| Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis | Mar 25, 2022 | Medical Image AnalysisQ-Learning | CodeCode Available | 0 | 5 |
| Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation | Oct 1, 2022 | Lesion SegmentationMedical Image Analysis | CodeCode Available | 0 | 5 |
| Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine | Nov 29, 2024 | Interactive SegmentationMedical Image Analysis | CodeCode Available | 0 | 5 |
| Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning | Jun 16, 2015 | ClassificationDictionary Learning | CodeCode Available | 0 | 5 |
| Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images | Aug 22, 2018 | Computational EfficiencyGeneral Classification | CodeCode Available | 0 | 5 |
| Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies | Aug 2, 2023 | Anomaly DetectionImage Segmentation | CodeCode Available | 0 | 5 |
| CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration | Oct 3, 2024 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models | Feb 21, 2025 | Decision MakingKnowledge Distillation | CodeCode Available | 0 | 5 |
